matplotlib_map_your_google_data-Copy0.ipynb

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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Map Your Google Location History\n",
      "\n",
      "## Step 1: Download your Google Location History\n",
      "\n",
      "Google makes this process very easy. Go here to [download your location history data](https://www.google.com/settings/takeout) and unzip it."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Step 2: Run this script"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Preliminaries"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Import pandas\n",
      "import pandas as pd\n",
      "\n",
      "# Import matplotlib and Basemap\n",
      "import matplotlib.pyplot as plt\n",
      "from mpl_toolkits.basemap import Basemap\n",
      "\n",
      "# Import decimal\n",
      "import decimal\n",
      "\n",
      "# Set iPython to display visualization inline\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Read in the location history json\n",
      "\n",
      "Simply change the string to point to where you unzipped your location history json file"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create a dataframe from the json file in the filepath\n",
      "raw = pd.io.json.read_json('/Users/chrisralbon/Downloads/Location History/LocationHistory.json')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Let's take a look at some of the data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# View the last five rows of the dataframe\n",
      "raw.tail()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>locations</th>\n",
        "      <th>somePointsTruncated</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>369608</th>\n",
        "      <td> {'longitudeE7': -770434474, 'timestampMs': '13...</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>369609</th>\n",
        "      <td> {'longitudeE7': -770433938, 'timestampMs': '13...</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>369610</th>\n",
        "      <td> {'longitudeE7': -770432626, 'timestampMs': '13...</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>369611</th>\n",
        "      <td> {'longitudeE7': -770432626, 'timestampMs': '13...</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>369612</th>\n",
        "      <td> {'longitudeE7': -769333633, 'timestampMs': '13...</td>\n",
        "      <td> True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "                                                locations somePointsTruncated\n",
        "369608  {'longitudeE7': -770434474, 'timestampMs': '13...                True\n",
        "369609  {'longitudeE7': -770433938, 'timestampMs': '13...                True\n",
        "369610  {'longitudeE7': -770432626, 'timestampMs': '13...                True\n",
        "369611  {'longitudeE7': -770432626, 'timestampMs': '13...                True\n",
        "369612  {'longitudeE7': -769333633, 'timestampMs': '13...                True"
       ]
      }
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Expand the locations object into it's own dataframe"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Expand the locations column into a dataframe\n",
      "# This lets us move down one level in the json structure\n",
      "df = raw['locations'].apply(pd.Series)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Take a peak at the data again"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# View the last five rows of the dataframe\n",
      "df.tail()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Wrangle the data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create a list from the latitude column\n",
      "lats = df['latitudeE7']\n",
      "\n",
      "# Create a list from the longitude column\n",
      "lons = df['longitudeE7']\n",
      "\n",
      "# Multiply both lists by -E7 to move the decimal point\n",
      "# to the correct location\n",
      "lats = lats * 0.0000001\n",
      "lons = lons * 0.0000001"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# View the last five list elements\n",
      "list(lons[-5:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Set the precison of getcontext\n",
      "decimal.getcontext().prec = 6\n",
      "\n",
      "# Convert the float into a decimal string, then put it back into float\n",
      "lats = [float(decimal.Decimal(\"%.6f\" % e)) for e in lats]\n",
      "lons = [float(decimal.Decimal(\"%.6f\" % e)) for e in lons]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# View the last five list elements\n",
      "# to check the decimal function worked\n",
      "list(lons[-5:])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Map the data using basemap"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create a figure of size (i.e. pretty big)\n",
      "fig = plt.figure(figsize=(20,10))\n",
      "\n",
      "# Create a map, using the Gall\u2013Peters projection, \n",
      "map = Basemap(projection='gall', \n",
      "              # with low resolution,\n",
      "              resolution = 'h', \n",
      "              # And threshold 100000\n",
      "              area_thresh = 100000.0,\n",
      "              llcrnrlon=-0.186768,\n",
      "              llcrnrlat=51.454007,\n",
      "              urcrnrlon=-0.061798,\n",
      "              urcrnrlat=51.530960)\n",
      "\n",
      "# Draw the coastlines on the map\n",
      "map.drawcoastlines()\n",
      "\n",
      "# Draw country borders on the map\n",
      "map.drawcountries()\n",
      "\n",
      "# Fill the land with grey\n",
      "map.fillcontinents(color = '#888888')\n",
      "\n",
      "# Draw the map boundaries\n",
      "map.drawmapboundary(fill_color='#f4f4f4')\n",
      "\n",
      "# Define our longitude and latitude points\n",
      "x,y = map(lons, lats)\n",
      "\n",
      "# Plot them using round markers of size 6\n",
      "map.plot(x, y, 'ro', markersize=6)\n",
      " \n",
      "# Show the map\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
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